Abstract algebra , intersection of ideals

In summary, Abstract algebra is a branch of mathematics that focuses on studying the properties and relationships between algebraic structures. The intersection of ideals refers to the common elements between two or more ideals within a ring and is denoted by ∩. It is used in ring theory to define quotient rings and helps to classify rings based on their ideals. The intersection of ideals can be empty if the given ideals have no common elements. In real-world applications, it is used in fields such as cryptography, coding theory, and algebraic geometry to analyze and apply the properties of algebraic structures.
  • #1
okoolo
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Homework Statement



prove that <x^m> intersection <x^n> = <x^LCM(m,n)>


Homework Equations





The Attempt at a Solution



===>

let b be in <x^n> intersection <x^m>

then for some t,k,p in Z, b=x^(mt) = x^(nk) thus b=x^(LCM(m,n) * p i.e. b is in <x^LCM(m,n)>

<===

let b be in <x^LCM(m,n)>
let s=lcm(m,n) =mt=nk for some t,k in Z

then for some r in Z , b=x^(sr)

then b = x^(mt)r =x^(nk)r

and that's where I'm stuck..

I was also considering trying to find and isomorphic mapping from one set to another..

any ideas?
thanks, Adam
 
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  • #2


Dear Adam,

Thank you for your post. To prove that <x^m> intersection <x^n> = <x^LCM(m,n)>, we can use the definition of intersection and the properties of exponents.

First, let's define <x^m> and <x^n> as follows:

<x^m> = {x^am | a is an integer}
<x^n> = {x^bn | b is an integer}

Then, the intersection of these two sets can be written as:

<x^m> intersection <x^n> = {x^c | c is an integer and x^c is in both <x^m> and <x^n>}

Now, let's consider an element x^c in the intersection. This means that x^c is in both <x^m> and <x^n>. So, there exist integers a and b such that x^c = x^am and x^c = x^bn.

Using the properties of exponents, we can rewrite x^c as x^(am+bn). Now, since c is an integer, we can let c = LCM(m,n) * p for some integer p. This means that:

x^c = x^(LCM(m,n) * p) = x^(am+bn)

Since am = bn, we can rewrite this as:

x^c = x^(LCM(m,n) * p) = x^(am+am) = x^(2am)

Since a and p are both integers, 2am is also an integer. Therefore, x^c is in <x^LCM(m,n)>.

This shows that any element in the intersection is also in <x^LCM(m,n)>. Now, we need to show that any element in <x^LCM(m,n)> is also in the intersection. This can be done using a similar argument as above, but in the opposite direction.

Therefore, we have shown that <x^m> intersection <x^n> = <x^LCM(m,n)>.

I hope this helps. Please let me know if you have any further questions. Keep up the good work in your studies!


 

Related to Abstract algebra , intersection of ideals

1. What is abstract algebra?

Abstract algebra is a branch of mathematics that deals with algebraic structures such as groups, rings, and fields. It focuses on studying the properties and relationships between these structures rather than specific numerical values.

2. What is the intersection of ideals?

The intersection of ideals refers to the elements that are common to two or more ideals within a ring. It is denoted by ∩ and can also be thought of as the smallest ideal that contains all the elements of the given ideals.

3. How is the intersection of ideals related to ring theory?

In ring theory, the intersection of ideals is used to define the concept of a quotient ring. This allows for the creation of new rings by dividing an existing ring by one of its ideals. It also helps to classify rings based on the properties of their ideals.

4. Can the intersection of ideals be empty?

Yes, it is possible for the intersection of ideals to be empty. This occurs when the given ideals have no common elements. In other words, their intersection is the set {0}, which is the trivial ideal.

5. How is the intersection of ideals used in real-world applications?

The intersection of ideals has various applications in fields such as cryptography, coding theory, and algebraic geometry. It is used to study and analyze the properties of algebraic structures, which have practical applications in secure communication, error-correcting codes, and geometric modeling, to name a few.

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